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      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
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/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/

Enter the query into the form above. You can look for specific version of a package by using @ symbol like this: gcc@10.

API method:

GET /api/packages?search=hello&page=1&limit=20

where search is your query, page is a page number and limit is a number of items on a single page. Pagination information (such as a number of pages and etc) is returned in response headers.

If you'd like to join our channel webring send a patch to ~whereiseveryone/toys@lists.sr.ht adding your channel as an entry in channels.scm.


r-stmomo 0.4.1
Propagated dependencies: r-rootsolve@1.8.2.4 r-reshape2@1.4.5 r-rcolorbrewer@1.1-3 r-mass@7.3-65 r-gnm@1.1-5 r-forecast@8.24.0 r-fields@17.1 r-fanplot@4.0.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: http://github.com/amvillegas/StMoMo
Licenses: GPL 2+
Build system: r
Synopsis: Stochastic Mortality Modelling
Description:

Implementation of the family of generalised age-period-cohort stochastic mortality models. This family of models encompasses many models proposed in the actuarial and demographic literature including the Lee-Carter (1992) <doi:10.2307/2290201> and the Cairns-Blake-Dowd (2006) <doi:10.1111/j.1539-6975.2006.00195.x> models. It includes functions for fitting mortality models, analysing their goodness-of-fit and performing mortality projections and simulations.

r-strata 1.4.5
Propagated dependencies: r-tibble@3.3.0 r-stringr@1.6.0 r-rlang@1.1.6 r-readr@2.1.6 r-purrr@1.2.0 r-lifecycle@1.0.4 r-glue@1.8.0 r-fs@1.6.6 r-dplyr@1.1.4 r-checkmate@2.3.3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/asenetcky/strata
Licenses: Expat
Build system: r
Synopsis: Simple Framework for Simple Automation
Description:

Build a project framework for users with access to only the most basic of automation tools.

r-statar 0.7.7
Propagated dependencies: r-tidyselect@1.2.1 r-stringr@1.6.0 r-rlang@1.1.6 r-matrixstats@1.5.0 r-lazyeval@0.2.2 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/matthieugomez/statar
Licenses: GPL 2
Build system: r
Synopsis: Tools Inspired by 'Stata' to Manipulate Tabular Data
Description:

This package provides a set of tools inspired by Stata to explore data.frames ('summarize', tabulate', xtile', pctile', binscatter', elapsed quarters/month, lead/lag).

r-swag 0.1.0
Propagated dependencies: r-rdpack@2.6.4 r-caret@7.0-1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/SMAC-Group/SWAG-R-Package/
Licenses: GPL 2+
Build system: r
Synopsis: Sparse Wrapper Algorithm
Description:

An algorithm that trains a meta-learning procedure that combines screening and wrapper methods to find a set of extremely low-dimensional attribute combinations. This package works on top of the caret package and proceeds in a forward-step manner. More specifically, it builds and tests learners starting from very few attributes until it includes a maximal number of attributes by increasing the number of attributes at each step. Hence, for each fixed number of attributes, the algorithm tests various (randomly selected) learners and picks those with the best performance in terms of training error. Throughout, the algorithm uses the information coming from the best learners at the previous step to build and test learners in the following step. In the end, it outputs a set of strong low-dimensional learners.

r-shinydnd 0.1.0
Propagated dependencies: r-shiny@1.11.1 r-htmltools@0.5.8.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/ayayron/shinydnd
Licenses: GPL 3
Build system: r
Synopsis: Shiny Drag-n-Drop
Description:

Add functionality to create drag and drop div elements in shiny.

r-snowquery 1.3.0
Propagated dependencies: r-yaml@2.3.10 r-rsqlite@2.4.4 r-rpostgres@1.4.8 r-reticulate@1.44.1 r-duckdb@1.4.2 r-dplyr@1.1.4 r-dbplyr@2.5.1 r-dbi@1.2.3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/mermelstein/snowquery
Licenses: GPL 3+
Build system: r
Synopsis: SQL Interface to 'Snowflake', 'Redshift', 'Postgres', 'SQLite', and 'DuckDB'
Description:

Run SQL queries across Snowflake', Amazon Redshift', PostgreSQL', SQLite', and DuckDB from R with a single function. Optionally stream and cache large query results to a local DuckDB database for efficient work with larger-than-memory datasets.

r-sara4r 0.1.0
Propagated dependencies: r-terra@1.8-86 r-tcltk2@1.6.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://hydro-geomatic-lab.com/
Licenses: GPL 3+
Build system: r
Synopsis: An R-GUI for Spatial Analysis of Surface Runoff using the NRCS-CN Method
Description:

This package provides a Graphical user interface to calculate the rainfall-runoff relation using the Natural Resources Conservation Service - Curve Number method (NRCS-CN method) but include modifications by Hawkins et al., (2002) about the Initial Abstraction. This GUI follows the programming logic of a previously published software (Hernandez-Guzman et al., 2011)<doi:10.1016/j.envsoft.2011.07.006>. It is a raster-based GIS tool that outputs runoff estimates from Land use/land cover and hydrologic soil group maps. This package has already been published in Journal of Hydroinformatics (Hernandez-Guzman et al., 2021)<doi:10.2166/hydro.2020.087> but it is under constant development at the Institute about Natural Resources Research (INIRENA) from the Universidad Michoacana de San Nicolas de Hidalgo and represents a collaborative effort between the Hydro-Geomatic Lab (INIRENA) with the Environmental Management Lab (CIAD, A.C.).

r-statstflvalr 1.0.0
Propagated dependencies: r-tidyselect@1.2.1 r-tidyr@1.3.1 r-tibble@3.3.0 r-rlang@1.1.6 r-readxl@1.4.5 r-purrr@1.2.0 r-haven@2.5.5 r-dplyr@1.1.4 r-data-table@1.17.8 r-arsenal@3.6.3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/kalsem/StatsTFLValR
Licenses: Expat
Build system: r
Synopsis: Utilities for Validation of Clinical Trial 'SDTM', 'ADaM' and 'TFL' Outputs
Description:

This package provides utility functions for validation and quality control of clinical trial datasets and outputs across SDTM', ADaM and TFL workflows. The package supports dataset loading, metadata inspection, frequency and summary calculations, table-ready aggregations, and compare-style dataset review similar to SAS PROC COMPARE'. Functions are designed to support reproducible execution, transparent review, and independent verification of statistical programming results. Dataset comparisons may leverage arsenal <https://cran.r-project.org/package=arsenal>.

r-spectrino 2.0.0
Propagated dependencies: r-jsonlite@2.0.0 r-httpuv@1.6.16
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: http://www.spectrino.com
Licenses: GPL 2+
Build system: r
Synopsis: Spectra Viewer, Organizer, Data Preparation and Property Blocks
Description:

Spectra viewer, organizer, data preparation and property blocks from within R or stand-alone. Binary (application) part is installed separately using spnInstallApp() from spectrino package.

r-sdafilter 1.0.1
Propagated dependencies: r-selectiveinference@1.2.5 r-poet@2.0 r-glmnet@4.1-10 r-glasso@1.11
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=sdafilter
Licenses: GPL 2+
Build system: r
Synopsis: Symmetrized Data Aggregation
Description:

We develop a new class of distribution free multiple testing rules for false discovery rate (FDR) control under general dependence. A key element in our proposal is a symmetrized data aggregation (SDA) approach to incorporating the dependence structure via sample splitting, data screening and information pooling. The proposed SDA filter first constructs a sequence of ranking statistics that fulfill global symmetry properties, and then chooses a data driven threshold along the ranking to control the FDR. For more information, see the website below and the accompanying paper: Du et al. (2023), "False Discovery Rate Control Under General Dependence By Symmetrized Data Aggregation", <doi:10.1080/01621459.2021.1945459>. Some optional functionality uses the archived R packages â hugeâ and â pfaâ , which are not available from CRANâ s main repositories. Users who need this optional functionality can obtain them from the CRAN Archive as follows: â hugeâ at <https://cran.r-project.org/src/contrib/Archive/huge/>; â pfaâ at <https://cran.r-project.org/src/contrib/Archive/pfa/>.

r-sdcnway 1.0.1
Propagated dependencies: r-rdpack@2.6.4 r-plyr@1.8.9 r-mass@7.3-65 r-ggplot2@4.0.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SDCNway
Licenses: GPL 2
Build system: r
Synopsis: Tools to Evaluate Disclosure Risk
Description:

This package provides tools for calculating disclosure risk measures for microdata, including record-level and file-level measures. The record-level disclosure risk is estimated primarily using exhaustive tabulation. The file-level disclosure risk is estimated by fitting loglinear models on the observed sample counts in cells formed by key variables and their interactions. Funded by the National Center for Education Statistics. See Skinner and Shlomo (2008) <doi:10.1198/016214507000001328> for a description of the file-level risk measures and the loglinear model approach.

r-soiltaxonomy 0.2.8
Propagated dependencies: r-stringr@1.6.0 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/ncss-tech/SoilTaxonomy
Licenses: GPL 3+
Build system: r
Synopsis: System of Soil Classification for Making and Interpreting Soil Surveys
Description:

Taxonomic dictionaries, formative element lists, and functions related to the maintenance, development and application of U.S. Soil Taxonomy. Data and functionality are based on official U.S. Department of Agriculture sources including the latest edition of the Keys to Soil Taxonomy. Descriptions and metadata are obtained from the National Soil Information System or Soil Survey Geographic databases. Other sources are referenced in the data documentation. Provides tools for understanding and interacting with concepts in the U.S. Soil Taxonomic System. Most of the current utilities are for working with taxonomic concepts at the "higher" taxonomic levels: Order, Suborder, Great Group, and Subgroup.

r-songevo 1.0.0
Propagated dependencies: r-sp@2.2-0 r-lattice@0.22-7 r-geosphere@1.5-20 r-boot@1.3-32
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SongEvo
Licenses: GPL 3
Build system: r
Synopsis: An Individual-Based Model of Bird Song Evolution
Description:

Simulates the cultural evolution of quantitative traits of bird song. SongEvo is an individual- (agent-) based model. SongEvo is spatially-explicit and can be parameterized with, and tested against, measured song data. Functions are available for model implementation, sensitivity analyses, parameter optimization, model validation, and hypothesis testing.

r-superspreading 0.4.0
Propagated dependencies: r-rlang@1.1.6 r-checkmate@2.3.3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/epiverse-trace/superspreading
Licenses: Expat
Build system: r
Synopsis: Understand Individual-Level Variation in Infectious Disease Transmission
Description:

Estimate and understand individual-level variation in transmission. Implements density and cumulative compound Poisson discrete distribution functions (Kremer et al. (2021) <doi:10.1038/s41598-021-93578-x>), as well as functions to calculate infectious disease outbreak statistics given epidemiological parameters on individual-level transmission; including the probability of an outbreak becoming an epidemic/extinct (Kucharski et al. (2020) <doi:10.1016/S1473-3099(20)30144-4>), or the cluster size statistics, e.g. what proportion of cases cause X\% of transmission (Lloyd-Smith et al. (2005) <doi:10.1038/nature04153>).

r-s3-resourcer 1.1.2
Propagated dependencies: r-sparklyr@1.9.3 r-resourcer@1.5.0 r-r6@2.6.1 r-httr@1.4.7 r-aws-s3@0.3.22
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=s3.resourcer
Licenses: LGPL 2.1+
Build system: r
Synopsis: S3 Resource Resolver
Description:

This package provides a S3 resource is provided by Amazon Web Services S3 or a S3-compatible object store (such as Minio). The resource can be a tidy file to be downloaded from the object store, or a data lake (such as Delta Lake) Parquet file to be read by Apache Spark.

r-smsets 2.0.0
Propagated dependencies: r-stringr@1.6.0 r-hotelling@1.0-8 r-effectsize@1.0.1 r-data-table@1.17.8 r-crayon@1.5.3 r-biotools@4.3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/ganava4/smsets
Licenses: Expat
Build system: r
Synopsis: Simple Multivariate Statistical Estimation and Tests
Description:

This package provides a collection of simple parameter estimation and tests for the comparison of multivariate means and variation, to accompany Chapters 4 and 5 of the book Multivariate Statistical Methods. A Primer (5th edition), by Manly BFJ, Navarro Alberto JA & Gerow K (2024) <doi:10.1201/9781003453482>.

r-spatialrdd 0.1.0
Propagated dependencies: r-sf@1.0-23 r-sandwich@3.1-1 r-rlang@1.1.6 r-rdrobust@3.0.0 r-magrittr@2.0.4 r-lmtest@0.9-40 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-cowplot@1.2.0 r-broom@1.0.10
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://axlehner.github.io/SpatialRDD/
Licenses: GPL 3
Build system: r
Synopsis: Conduct Multiple Types of Geographic Regression Discontinuity Designs
Description:

Spatial versions of Regression Discontinuity Designs (RDDs) are becoming increasingly popular as tools for causal inference. However, conducting state-of-the-art analyses often involves tedious and time-consuming steps. This package offers comprehensive functionalities for executing all required spatial and econometric tasks in a streamlined manner. Moreover, it equips researchers with tools for performing essential placebo and balancing checks comprehensively. The fact that researchers do not have to rely on APIs of external GIS software ensures replicability and raises the standard for spatial RDDs.

r-sigora 3.1.1
Propagated dependencies: r-slam@0.1-55
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/wolski/sigora
Licenses: GPL 3
Build system: r
Synopsis: Signature Overrepresentation Analysis
Description:

Pathway Analysis is statistically linking observations on the molecular level to biological processes or pathways on the systems(i.e., organism, organ, tissue, cell) level. Traditionally, pathway analysis methods regard pathways as collections of single genes and treat all genes in a pathway as equally informative. However, this can lead to identifying spurious pathways as statistically significant since components are often shared amongst pathways. SIGORA seeks to avoid this pitfall by focusing on genes or gene pairs that are (as a combination) specific to a single pathway. In relying on such pathway gene-pair signatures (Pathway-GPS), SIGORA inherently uses the status of other genes in the experimental context to identify the most relevant pathways. The current version allows for pathway analysis of human and mouse datasets. In addition, it contains pre-computed Pathway-GPS data for pathways in the KEGG and Reactome pathway repositories and mechanisms for extracting GPS for user-supplied repositories.

r-sctenifoldknk 1.0.3
Propagated dependencies: r-sctenifoldnet@1.3 r-reshape2@1.4.5 r-pbapply@1.7-4 r-matrix@1.7-4 r-mass@7.3-65 r-igraph@2.2.1 r-enrichr@3.4 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/cailab-tamu/scTenifoldKnk
Licenses: GPL 2+
Build system: r
Synopsis: In-Silico Knockout Experiments from Single-Cell Gene Regulatory Networks
Description:

This package provides a workflow based on scTenifoldNet to perform in-silico knockout experiments using single-cell RNA sequencing (scRNA-seq) data from wild-type (WT) control samples as input. First, the package constructs a single-cell gene regulatory network (scGRN) and knocks out a target gene from the adjacency matrix of the WT scGRN by setting the geneâ s outdegree edges to zero. Then, it compares the knocked out scGRN with the WT scGRN to identify differentially regulated genes, called virtual-knockout perturbed genes, which are used to assess the impact of the gene knockout and reveal the geneâ s function in the analyzed cells.

r-summer 2.0.0
Propagated dependencies: r-viridis@0.6.5 r-terra@1.8-86 r-survival@3.8-3 r-survey@4.4-8 r-spdep@1.4-1 r-sp@2.2-0 r-shadowtext@0.1.6 r-sf@1.0-23 r-scales@1.4.0 r-reshape2@1.4.5 r-rcolorbrewer@1.1-3 r-matrix@1.7-4 r-lifecycle@1.0.4 r-haven@2.5.5 r-ggridges@0.5.7 r-ggplot2@4.0.1 r-fields@17.1 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/richardli/SUMMER
Licenses: GPL 2+
Build system: r
Synopsis: Small-Area-Estimation Unit/Area Models and Methods for Estimation in R
Description:

This package provides methods for spatial and spatio-temporal smoothing of demographic and health indicators using survey data, with particular focus on estimating and projecting under-five mortality rates, described in Mercer et al. (2015) <doi:10.1214/15-AOAS872>, Li et al. (2019) <doi:10.1371/journal.pone.0210645>, Wu et al. (DHS Spatial Analysis Reports No. 21, 2021), and Li et al. (2023) <doi:10.48550/arXiv.2007.05117>.

r-season 0.3.16
Propagated dependencies: r-survival@3.8-3 r-stringr@1.6.0 r-mass@7.3-65 r-ggplot2@4.0.1 r-coda@0.19-4.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/agbarnett/season
Licenses: GPL 3+
Build system: r
Synopsis: Seasonal Analysis of Health Data
Description:

Routines for the seasonal analysis of health data, including regression models, time-stratified case-crossover, plotting functions and residual checks, see Barnett and Dobson (2010) ISBN 978-3-642-10748-1. Thanks to Yuming Guo for checking the case-crossover code.

r-sldassay 1.8
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SLDAssay
Licenses: GPL 3
Build system: r
Synopsis: Software for Analyzing Limiting Dilution Assays
Description:

Calculates maximum likelihood estimate, exact and asymptotic confidence intervals, and exact and asymptotic goodness of fit p-values for concentration of infectious units from serial limiting dilution assays. This package uses the likelihood equation, exact goodness of fit p-values, and exact confidence intervals described in Meyers et al. (1994) <http://jcm.asm.org/content/32/3/732.full.pdf>. This software is also implemented as a web application through the Shiny R package <https://iupm.shinyapps.io/sldassay/>.

r-swephr 0.3.2
Propagated dependencies: r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/rstub/swephR/
Licenses: FSDG-compatible
Build system: r
Synopsis: High Precision Swiss Ephemeris
Description:

The Swiss Ephemeris (version 2.10.03) is a high precision ephemeris based upon the DE431 ephemerides from NASA's JPL. It covers the time range 13201 BCE to 17191 CE. This package uses the semi-analytic theory by Steve Moshier. For faster and more accurate calculations, the compressed Swiss Ephemeris data is available in the swephRdata package. To access this data package, run install.packages("swephRdata", repos = "https://rstub.r-universe.dev", type = "source")'. The size of the swephRdata package is approximately 115 MB. The user can also use the original JPL DE431 data.

r-semicomprisks 3.4
Propagated dependencies: r-survival@3.8-3 r-mass@7.3-65 r-formula@1.2-5
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SemiCompRisks
Licenses: GPL 2+
Build system: r
Synopsis: Hierarchical Models for Parametric and Semi-Parametric Analyses of Semi-Competing Risks Data
Description:

Hierarchical multistate models are considered to perform the analysis of independent/clustered semi-competing risks data. The package allows to choose the specification for model components from a range of options giving users substantial flexibility, including: accelerated failure time or proportional hazards regression models; parametric or non-parametric specifications for baseline survival functions and cluster-specific random effects distribution; a Markov or semi-Markov specification for terminal event following non-terminal event. While estimation is mainly performed within the Bayesian paradigm, the package also provides the maximum likelihood estimation approach for several parametric models. The package also includes functions for univariate survival analysis as complementary analysis tools.

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